This study presents a sustainable strategy for upcycling ocean-derived CO₂ and opens new avenues for electrochemically driven biochemical synthesis.

The public are invited to share their most vibrant memories as researchers seek ways to help us recall experiences more vividly

Miniaturized electronics and intricate objects require a certain finesse. Here, researchers look into the development of a machine capable of these fine movements, as well as identifying and categorizing the objects using machine learning.

Researchers at the University of Edinburgh have discovered that childhood cognitive function shares significant genetic overlap with longevity, showing a genetic correlation of 0.35. Using genome-wide association data from over 400,000 participants, the study provides the first evidence linking childhood intelligence genes with lifespan. The findings, published in Genomic Psychiatry, suggest that genetic variants associated with higher childhood cognitive abilities are also linked to longer parental lifespans.

Self-driving laboratories (SDLs) powered by AI and machine learning revolutionize research by automating experiments, accelerating discoveries, and optimizing processes in materials science and pharmaceuticals. University of Tennessee Knoxville’s Rigoberto Advincula leads efforts to develop SDLs, enabling faster innovation, cost savings, and preparing students for future careers in advanced R&D technologies.